What does "style transfer" refer to in the context of Generative AI?

Style transfer in the context of Generative AI specifically refers to the technique of taking the artistic style from one image (such as the brushwork, colors, and textures) and applying it to the content of another image. This process allows for the creation of a new image that maintains the original structure and content of the target image while embodying the stylistic characteristics of the source image.

For example, one could take a photograph of a landscape and apply the artistic style of a famous painter, resulting in a new image that resembles a painting. This technique leverages deep learning methods, particularly convolutional neural networks, to understand and separate the content and style of images, enabling the blend of diverse visual elements in a cohesive manner.

While other options mention different types of transformations across text, audio, or generating new styles, they do not accurately describe the specific process of style transfer, which is predominantly linked to image processing in the realm of Generative AI.